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Title: Mediman: Object oriented programming approach for medical image analysis

Abstract

Mediman is a new image analysis package which has been developed to analyze quantitatively Positron Emission Tomography (PET) data. It is object-oriented, written in C++ and its user interface is based on InterViews on top of which new classes have been added. Mediman accesses data using external data representation or import/export mechanism which avoids data duplication. Multimodality studies are organized in a simple database which includes images, headers, color tables, lists and objects of interest (OOI's) and history files. Stored color table parameters allow to focus directly on the interesting portion of the dynamic range. Lists allow to organize the study according to modality, acquisition protocol, time and spatial properties. OOI's (points, lines and regions) are stored in absolute 3-D coordinates allowing correlation with other co-registered imaging modalities such as MRI or SPECT. OOI's have visualization properties and are organized into groups. Quantitative ROI analysis of anatomic images consists of position, distance, volume calculation on selected OOI's. An image calculator is connected to mediman. Quantitation of metabolic images is performed via profiles, sectorization, time activity curves and kinetic modeling. Mediman is menu and mouse driven, macro-commands can be registered and replayed. Its interface is customizable through a configuration file. Themore » benefit of the object-oriented approach are discussed from a development point of view.« less

Authors:
; ; ;  [1]
  1. Universite Catolique de Louvain, (Belgium). Positron Tomography Lab.
Publication Date:
OSTI Identifier:
6057965
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States)
Additional Journal Information:
Journal Volume: 40:4 part 1; Journal ID: ISSN 0018-9499
Country of Publication:
United States
Language:
English
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; POSITRON COMPUTED TOMOGRAPHY; INFORMATION SYSTEMS; DATA ANALYSIS; IMAGE PROCESSING; NUCLEAR MEDICINE; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC TECHNIQUES; EMISSION COMPUTED TOMOGRAPHY; MEDICINE; PROCESSING; TOMOGRAPHY; 550601* - Medicine- Unsealed Radionuclides in Diagnostics

Citation Formats

Coppens, A, Sibomana, M, Bol, A, and Michel, C. Mediman: Object oriented programming approach for medical image analysis. United States: N. p., 1993. Web. doi:10.1109/23.256691.
Coppens, A, Sibomana, M, Bol, A, & Michel, C. Mediman: Object oriented programming approach for medical image analysis. United States. https://doi.org/10.1109/23.256691
Coppens, A, Sibomana, M, Bol, A, and Michel, C. Sun . "Mediman: Object oriented programming approach for medical image analysis". United States. https://doi.org/10.1109/23.256691.
@article{osti_6057965,
title = {Mediman: Object oriented programming approach for medical image analysis},
author = {Coppens, A and Sibomana, M and Bol, A and Michel, C},
abstractNote = {Mediman is a new image analysis package which has been developed to analyze quantitatively Positron Emission Tomography (PET) data. It is object-oriented, written in C++ and its user interface is based on InterViews on top of which new classes have been added. Mediman accesses data using external data representation or import/export mechanism which avoids data duplication. Multimodality studies are organized in a simple database which includes images, headers, color tables, lists and objects of interest (OOI's) and history files. Stored color table parameters allow to focus directly on the interesting portion of the dynamic range. Lists allow to organize the study according to modality, acquisition protocol, time and spatial properties. OOI's (points, lines and regions) are stored in absolute 3-D coordinates allowing correlation with other co-registered imaging modalities such as MRI or SPECT. OOI's have visualization properties and are organized into groups. Quantitative ROI analysis of anatomic images consists of position, distance, volume calculation on selected OOI's. An image calculator is connected to mediman. Quantitation of metabolic images is performed via profiles, sectorization, time activity curves and kinetic modeling. Mediman is menu and mouse driven, macro-commands can be registered and replayed. Its interface is customizable through a configuration file. The benefit of the object-oriented approach are discussed from a development point of view.},
doi = {10.1109/23.256691},
url = {https://www.osti.gov/biblio/6057965}, journal = {IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States)},
issn = {0018-9499},
number = ,
volume = 40:4 part 1,
place = {United States},
year = {1993},
month = {8}
}